Privacy-Preserving Community-Aware Trending Topic Detection in Online Social Media

This research begins with an understanding of the endemic radicalism of society, not only of the real world, but also of various online social media. This study showed that the avoidance of online radicalism can be stopped as soon as possible by accusing those influenced by the radical radicality of a secular religious approach. The methods used must be assisted in order to achieve balanced understanding (wasathiyah) under the different environmental conditions of the culture through recognizing the meaning of religion. The research tool used is primarily library work and the journal writings by Abu Rokhmad, a terrorist and radicalise specialist. The results of this study are that an approach that supports inclusive ism will avoid the awareness of radicalization through a heart-to-heart approach. This study also shows that radical actors will never cease to argue dramatically until they are able to grasp different views from Islamic law, culture, and families.Keywords: radicalism, deradicalization, multiculturalism, culture, religion, moderate.Penelitian ini berawal dari paham radikalisme yang telah mewabah di masyarakat, bukan hanya di dunia nyata, bahkan sudah menyusup di berbagai media sosial online. Penelitian ini menemukan bahwa cara menangkal radikalisme online dapat dilakukan pencegahan sedini mungkin melalui pendekatan konseling religius multikultural terhadap mereka yang terkena paham radikal radikal. Diantara teknik yang digunakan adalah melalui pemahaman tentang konsep agama juga perlu digalakkan agar memunculkan pemahaman yang moderat (wasathiyah) diberbagai keadaan lingkungan masyarakat. Metode yang digunakan untuk penelitian ini adalah library research dengan sumber utama adalah karya dan jurnal karya Abu Rokhmad seorang pakar dalam masalah terorisme dan radikalisme. Temuan penelitian ini adalah paham radikalisasi itu dapat dihentikan dengan pendekatan hati ke hati dengan mengedepankan budaya yang multikultural. Kajian ini juga membuktikan bahwa pelaku paham radikal tidak akan pernah berhenti memberikan argumen radikal kecuali mampu memahami perbedaan pendapat yang bersumber dari syariat Islam, lingkungan sosial, dan keluarga.Kata kunci: radikalisme, deradikalisasi, multikultural, budaya, agama, moderat.

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Customer Revenue Sharing Program in Online Social Media

SSRN Electronic Journal ◽

10.2139/ssrn.2013580 ◽

2012 ◽

Author(s):

Fouad H. Mirzaei ◽

Fredrik Odegaard ◽

Xinghao Yan

Keyword(s):

Social Media ◽

Revenue Sharing ◽

Online Social Media

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Semantic Analysis of Cardiovascular Disease Sentiment in Online Social Media

SSRN Electronic Journal ◽

10.2139/ssrn.3462426 ◽

2019 ◽

Author(s):

Luxmi Verma ◽

Varun Sapra

Keyword(s):

Cardiovascular Disease ◽

Social Media ◽

Semantic Analysis ◽

Online Social Media

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Observing Media Framing Effects through Online Social Media: A Case Study of the Debate on the Syrian Refugee Crisis Using Data from Facebook

SSRN Electronic Journal ◽

10.2139/ssrn.3733169 ◽

2016 ◽

Cited By ~ 1

Author(s):

Juan Ortiz Freuler

Keyword(s):

Social Media ◽

Media Framing ◽

Framing Effects ◽

Refugee Crisis ◽

Syrian Refugee ◽

Online Social Media ◽

Using Data ◽

Syrian Refugee Crisis

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Understanding the Role of Online Media Platforms in Airport Capital Projects and Community Outreach

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198121993474 ◽

2021 ◽

pp. 036119812199347

Author(s):

Max Z. Li ◽

Megan S. Ryerson

Keyword(s):

Social Media ◽

Best Practices ◽

Community Outreach ◽

Capital Projects ◽

The Public ◽

Online Social Media ◽

Social Media Platforms ◽

Project Phases ◽

Media Channels ◽

Common Content

Community outreach and engagement efforts are critical to an airport’s role as an ever-evolving transportation infrastructure and regional economic driver. As online social media platforms continue to grow in both popularity and influence, a new engagement channel between airports and the public is emerging. However, the motivations behind and effectiveness of these social media channels remain unclear. In this work, we address this knowledge gap by better understanding the advantages, impact, and best practices of this newly emerging engagement channel available to airports. Focusing specifically on airport YouTube channels, we first document quantitative viewership metrics, and examine common content characteristics within airport YouTube videos. We then conduct interviews and site visits with relevant airport stakeholders to identify the motivations and workflow behind these videos. Finally, we facilitate sample focus groups designed to survey public perceptions of the effectiveness and value of these videos. From our four project phases, to maximize content effectiveness and community engagement potential, we synthesize the following framework of action items, recommendations, and best practices: (C) Consistency and community; (O) Organizational structure; (M) Momentum; (B) Branding and buy-in; (A) Activity; (T) Two-way engagement; (E) Enthusiasm; and (D) Depth, or as a convenient initialism, our COMBATED framework.

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A Survey of Computational Methods for Online Mental State Assessment on Social Media

ACM Transactions on Computing for Healthcare ◽

10.1145/3437259 ◽

2021 ◽

Vol 2 (2) ◽

pp. 1-31

Author(s):

Esteban A. Ríssola ◽

David E. Losada ◽

Fabio Crestani

Keyword(s):

Social Media ◽

Mental Disorders ◽

Mental State ◽

Extraction Process ◽

State Assessment ◽

Future Research ◽

Linguistic Markers ◽

Online Social Media ◽

Suicide Behaviour ◽

Social Media Platforms

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.

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